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All Journal Jurnal Surya Teknika Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Hastuti, Ririn Puji
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences

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Tantangan Implementasi Program B40 di Indonesia: Tinjauan Teknis dan Ketersediaan Bahan Baku Biodiesel Eka Alel, Ariya; Hastuti, Ririn Puji; Legawati, Lisa
SURYA TEKNIKA Vol 12 No 2 (2025): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v12i2.10770

Abstract

The B40 program is a continuation of Indonesia’s mandatory biodiesel policy, which requires blending 40% palm oil–based biodiesel with 60% conventional diesel fuel. This program aims to reduce dependence on fossil fuel imports while supporting national greenhouse gas emission reduction targets. This study analyzes the challenges of B40 implementation in Indonesia, focusing on feedstock availability as well as technical aspects of biodiesel production and distribution. The research employs a desk study approach using secondary data from GAPKI, BPDPKS, the Ministry of Energy and Mineral Resources, and relevant scientific literature. The results indicate that Indonesia’s crude palm oil (CPO) production in the first half of 2025 reached approximately 27.89 million tons, while the CPO requirement for B40 is projected at around 13.5 million tons. The installed capacity of the national biodiesel industry is about 20 million kiloliters per year, exceeding the projected B40 biodiesel demand of 15.6 million kiloliters. However, technical challenges remain, including biodiesel quality issues, dependence on imported methanol, and distribution constraints in remote regions. Overall, the B40 program has the potential to reduce emissions by approximately 25–28 million tons of CO₂-equivalent per year and contribute to Indonesia’s energy transition.
Edukasi Pembuatan Detergen Cair sebagai Upaya Pemberdayaan Ibu-Ibu PKK di Perumahan Graha Rawa Bangun Kelurahan Tuah Karya Kecamatan Tuah Madani Kota Pekanbaru Nurfatihayati; Al’farisi, Cory Dian; Mutamima, Anisa; Utama, Panca Setia; Fadli, Ahmad; Azis, Yelmida; Sunarno; Suhendri; Habib, Alltop Amri Ya; Alel, Ariya Eka; Hastuti, Ririn Puji; Yolanda, Yogi; Syawal, Ferdy Ashari
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 1 (2026): Februari
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v5i1.499

Abstract

This community service activity aimed to enhance the knowledge and skills of PKK women in producing liquid detergent as an effort to promote community empowerment and household self-reliance. The activity was conducted in Graha Rawa Bangun Housing Area, Tuah Karya Village, Tuah Madani District, Pekanbaru City. The implementation methods included educational sessions, hands-on training on liquid detergent production, and evaluation using pre-test and post-test questionnaires. The training materials covered the introduction of raw materials, the function of each component, production procedures, and safety aspects related to the use of household chemicals. The evaluation results indicated a significant improvement in participants’ knowledge. The average level of participants’ knowledge increased from 16% in the pre-test to 85% in the post-test, with an overall improvement of 69%. Improvements were observed in both the understanding of primary cleaning agents and auxiliary ingredients in liquid detergent formulations. These findings demonstrate that an educational approach integrating simple scientific explanations with practical training is effective in enhancing participants’ capacity. The outputs of this activity include improved knowledge and skills of PKK women in producing safe and applicable liquid detergent, which has the potential to support household independence and community empowerment.
Machine Learning-Based Prediction of Sustainable Aviation Fuel Yield using Literature-Derived Hydroprocessing Data Eka Alel, Ariya; Hastuti, Ririn Puji; Suhendri, Suhendri; Alfarisi, Cory Dian
SURYA TEKNIKA Vol 13 No 1 (2026): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v13i1.11609

Abstract

The increasing demand for sustainable aviation fuel (SAF) has encouraged the development of efficient predictive approaches for optimizing jet fuel production from renewable feedstocks. Conventional experimental optimization methods are often time-consuming and expensive because hydroprocessing performance is strongly influenced by feedstock characteristics, catalyst composition, and operating conditions. In this study, machine learning (ML) techniques were applied to predict jet fuel yield using a dataset compiled from approximately 50 published scientific articles. The dataset consisted of 101 experimental observations involving different feedstock groups, catalyst metal groups, catalyst supports, catalyst loading, free fatty acid (FFA) content, temperature, pressure, and weight hourly space velocity (WHSV). The ML workflow was developed using Orange Data Mining software and included data preprocessing, feature selection, imputation, model training, and performance evaluation. Four regression algorithms, namely Random Forest, Linear Regression, Neural Network, and Gradient Boosting, were evaluated using 10-fold cross-validation. The Gradient Boosting model achieved the best predictive performance with an RMSE of 7.172, MAE of 5.314, MAPE of 10.026%, and R2 value of 0.286 during cross-validation. Feature ranking analysis indicated that catalyst support type, feedstock group, catalyst metal group, and FFA content were among the most influential variables affecting jet fuel yield.
Co-Authors Ahmad Fadli Alfarisi, Cory Dian Alltop Amri Ya Habib Al’farisi, Cory Dian Eka Alel, Ariya Ferdy Ashari Syawal Lisa Legawati Mutamima, Anisa Nurfatihayati Suhendri Suhendri Suhendri SUNARNO Utama, Panca Setia Yelmida Azis Yolanda, Yogi